amreahmed

it will help you to send voice messages to your AI Assistant and also can make it talk

Design & Mediav1.0.0
By amreahmedUpdated 2026-05-11elevenlabs-voice@clawhub_amreahmed/elevenlabs-voice
Audio#Speech-to-Text#Text-to-Speech#Transcription#Transcribe

According to AlphaMoat, as of 2026-09, it will help you to send voice messages to your AI Assistant and also can make it talk has 4,175 downloads and 1 stars — ranked #2,406 of 5,078 AI skills overall, and #231 of 512 in Design & Media.

Installs
559
Downloads
4.2K
Stars
1
Overall Rank
#2,406
Top 48% overall · Top 46% in Design & Media
PlatformInstallsDownloadsStarsComments
ClawHub ↗1173.4K1-
SkillHub ↗5594.2K1—

Platforms count differently and update at different times.

What this skill does

TTS produces high-quality voices and STT transcribes via Scribe; a lower stability value gives more emotion and a higher one more steadiness, and the language is auto-detected when no hint is given. The monolingual model covers English only, and the key goes in ELEVENLABS_API_KEY. Selected text and audio are sent to the ElevenLabs API. Submit only content approved for external processing, avoid highly sensitive recordings, and use a dedicated API key rather than sharing a .env file with unrelated secrets.

Profile published 2026-10-27

What you can do with it

  • Turn a script into voiceover in several languages
  • Transcribe a voice message into text

When to use it

  • When natural-sounding voiceover is needed
  • When multilingual audio must be transcribed

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Make an English voiceover from this copy
Transcribe this voice message

Monthly Trend

Downloads4.2K
2.8K3.5K4.3K2026-03 · Downloads 2.9K2026-05 · Downloads 3.2K2026-06 · Downloads 3.1K2026-07 · Downloads 3.5K2026-08 · Downloads 3.6K2026-09 · Downloads 4.2K26-0326-09
Stars1
0122026-03 · Stars 12026-05 · Stars 12026-06 · Stars 12026-07 · Stars 12026-08 · Stars 12026-09 · Stars 126-0326-09

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

MonthDownloadsMoMStars
2026-094.2K—1
2026-083.6K+3.4%1
2026-073.5K+14.6%1
2026-063.1K-3.8%1
2026-053.2K—1
2026-032.9K—1

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

4.7 KB · ClawHub v1.0.0
---
name: elevenlabs-speech
description: Text-to-Speech and Speech-to-Text using ElevenLabs AI. Use when the user wants to convert text to speech, transcribe voice messages, or work with voice in multiple languages. Supports high-quality AI voices and accurate transcription.
---

# ElevenLabs Speech

Complete voice solution — both TTS and STT using one API:
- **TTS**: Text-to-Speech (high-quality voices)
- **STT**: Speech-to-Text via Scribe (accurate transcription)
Show all (204 lines)

## Quick Start

### Environment Setup

Set your API key:
```bash
export ELEVENLABS_API_KEY="sk_..."
```

Or create `.env` file in workspace root.

### Text-to-Speech (TTS)

Convert text to natural-sounding speech:

```bash
python scripts/elevenlabs_speech.py tts -t "Hello world" -o greeting.mp3
```

With custom voice:
```bash
python scripts/elevenlabs_speech.py tts -t "Hello" -v "voice_id_here" -o output.mp3
```

### List Available Voices

```bash
python scripts/elevenlabs_speech.py voices
```

## Using in Code

```python
from scripts.elevenlabs_speech import ElevenLabsClient

client = ElevenLabsClient(api_key="sk_...")

# Basic TTS
result = client.text_to_speech(
    text="Hello from zerox",
    output_path="greeting.mp3"
)

# With custom settings
result = client.text_to_speech(
    text="Your text here",
    voice_id="21m00Tcm4TlvDq8ikWAM",  # Rachel
    stability=0.5,
    similarity_boost=0.75,
    output_path="output.mp3"
)

# Get available voices
voices = client.get_voices()
for voice in voices['voices']:
    print(f"{voice['name']}: {voice['voice_id']}")
```

## Popular Voices

| Voice ID | Name | Description |
|----------|------|-------------|
| `21m00Tcm4TlvDq8ikWAM` | Rachel | Natural, versatile (default) |
| `AZnzlk1XvdvUeBnXmlld` | Domi | Strong, energetic |
| `EXAVITQu4vr4xnSDxMaL` | Bella | Soft, soothing |
| `ErXwobaYiN019PkySvjV` | Antoni | Well-rounded |
| `MF3mGyEYCl7XYWbV9V6O` | Elli | Warm, friendly |
| `TxGEqnHWrfWFTfGW9XjX` | Josh | Deep, calm |
| `VR6AewLTigWG4xSOukaG` | Arnold | Authoritative |

## Voice Settings

- **stability** (0-1): Lower = more emotional, Higher = more stable
- **similarity_boost** (0-1): Higher = closer to original voice

Default: stability=0.5, similarity_boost=0.75

## Models

- `eleven_turbo_v2_5` - Fast, high quality (default)
- `eleven_multilingual_v2` - Best for non-English
- `eleven_monolingual_v1` - English only

## Integration with Telegram

When user sends text and wants voice reply:

```python
# Generate speech
result = client.text_to_speech(text=user_text, output_path="reply.mp3")

# Send via Telegram message tool with media path
message(action="send", media="path/to/reply.mp3", as_voice=True)
```

## Pricing

Check https://elevenlabs.io/pricing for current rates. Free tier available!

## Speech-to-Text (STT) with ElevenLabs Scribe

Transcribe voice messages using ElevenLabs Scribe:

### Transcribe Audio

```bash
python scripts/elevenlabs_scribe.py voice_message.ogg
```

With specific language:
```bash
python scripts/elevenlabs_scribe.py voice_message.ogg --language ara
```

With speaker diarization (multiple speakers):
```bash
python scripts/elevenlabs_scribe.py voice_message.ogg --speakers 2
```

### Using in Code

```python
from scripts.elevenlabs_scribe import ElevenLabsScribe

client = ElevenLabsScribe(api_key="sk-...")

# Basic transcription
result = client.transcribe("voice_message.ogg")
print(result['text'])

# With language hint (improves accuracy)
result = client.transcribe("voice_message.ogg", language_code="ara")

# With speaker detection
result = client.transcribe("voice_message.ogg", num_speakers=2)
```

### Supported Formats

- mp3, mp4, mpeg, mpga, m4a, wav, webm
- Max file size: 100 MB
- Works great with Telegram voice messages (`.ogg`)

### Language Support

Scribe supports 99 languages including:
- Arabic (`ara`)
- English (`eng`)
- Spanish (`spa`)
- French (`fra`)
- And many more...

Without language hint, it auto-detects.

## Complete Workflow Example

**User sends voice message → You reply with voice:**

```python
from scripts.elevenlabs_scribe import ElevenLabsScribe
from scripts.elevenlabs_speech import ElevenLabsClient

# 1. Transcribe user's voice message
stt = ElevenLabsScribe()
transcription = stt.transcribe("user_voice.ogg")
user_text = transcription['text']

# 2. Process/understand the text
# ... your logic here ...

# 3. Generate response text
response_text = "Your response here"

# 4. Convert to speech
tts = ElevenLabsClient()
tts.text_to_speech(response_text, output_path="reply.mp3")

# 5. Send voice reply
message(action="send", media="reply.mp3", as_voice=True)
```

## Pricing

Check https://elevenlabs.io/pricing for current rates:

**TTS (Text-to-Speech):**
- Free tier: 10,000 characters/month
- Paid plans available

**STT (Speech-to-Text) - Scribe:**
- Free tier available
- Check website for current pricing

Popular in Design & Media

Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.